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Crowdsourcing—Harnessing the Masses to Advance Health and Medicine, a Systematic Review

Overview of attention for article published in JGIM: Journal of General Internal Medicine, July 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
4 news outlets
twitter
63 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
162 Dimensions

Readers on

mendeley
244 Mendeley
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Title
Crowdsourcing—Harnessing the Masses to Advance Health and Medicine, a Systematic Review
Published in
JGIM: Journal of General Internal Medicine, July 2013
DOI 10.1007/s11606-013-2536-8
Pubmed ID
Authors

Benjamin L. Ranard, Yoonhee P. Ha, Zachary F. Meisel, David A. Asch, Shawndra S. Hill, Lance B. Becker, Anne K. Seymour, Raina M. Merchant

Abstract

Crowdsourcing research allows investigators to engage thousands of people to provide either data or data analysis. However, prior work has not documented the use of crowdsourcing in health and medical research. We sought to systematically review the literature to describe the scope of crowdsourcing in health research and to create a taxonomy to characterize past uses of this methodology for health and medical research.

Twitter Demographics

The data shown below were collected from the profiles of 63 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Germany 2 <1%
Canada 1 <1%
Ireland 1 <1%
Iran, Islamic Republic of 1 <1%
Sweden 1 <1%
Finland 1 <1%
India 1 <1%
Switzerland 1 <1%
Other 4 2%
Unknown 226 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 26%
Researcher 41 17%
Student > Master 38 16%
Student > Bachelor 18 7%
Unspecified 16 7%
Other 67 27%
Readers by discipline Count As %
Computer Science 52 21%
Unspecified 39 16%
Medicine and Dentistry 36 15%
Social Sciences 23 9%
Business, Management and Accounting 14 6%
Other 80 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 67. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 April 2017.
All research outputs
#243,876
of 13,193,719 outputs
Outputs from JGIM: Journal of General Internal Medicine
#191
of 4,682 outputs
Outputs of similar age
#2,964
of 152,478 outputs
Outputs of similar age from JGIM: Journal of General Internal Medicine
#2
of 58 outputs
Altmetric has tracked 13,193,719 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,682 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 152,478 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.